code: def __call__(self, samples: List):
      features, feature_lengths = _extract_features(
          self.train_data_pipeline, samples
      )
      targets, target_lengths = _extract_labels(self.sp_model, samples)
      return Batch(features, feature_lengths, targets, target_lengths)
  
imports: import json
  import math
  from functools import partial
  from typing import List
  import sentencepiece
  import torch
  import torchaudio
  from data_module import LibriSpeechDataModule
  from lightning import Batch
label_desc: Use image node_id 2 for calling the TrainTransform obj's underlying member method code with example usage: obj.__call__(samples) and returns: Batch